Felix Last
Felix Last
Ph.D. student, Technical University of Munich (TUM) & Intel
Verified email at - Homepage
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Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
G Douzas, F Bacao, F Last
Information sciences 465, 1-20, 2018
Oversampling for imbalanced learning based on k-means and smote. arXiv 2017
F Last, G Douzas, F Bacao
arXiv preprint arXiv:1711.00837 2, 1711
Human-machine collaboration for medical image segmentation
M Ravanbakhsh, V Tschernezki, F Last, T Klein, K Batmanghelich, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks
F Last, M Haeberlein, U Schlichtmann
ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (5 …, 2020
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models
F Last, U Schlichtmann
2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-6, 2021
Partial sharing neural networks for multi-target regression on power and performance of embedded memories
F Last, U Schlichtmann
Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 123-128, 2020
Human-Machine Collaboration for Medical Image Segmentation
F Last, T Klein, M Ravanbakhsh, M Nabi, K Batmanghelich, V Tresp
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level
F Last, C Yeni, U Schlichtmann
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 506-512, 2022
Predicting Failure Distributions of SRAM Arrays by using Extreme Value Statistic, Bit Cell Simulation, and Machine Learning
T Pompl, TK Bashir, M Voelker, F Last, M Ostermayr
IEEE Transactions on Device and Materials Reliability, 2023
Training PPA Models for Embedded Memories on a Low-data Diet
F Last, U Schlichtmann
ACM Transactions on Design Automation of Electronic Systems 28 (2), 1-24, 2022
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